Navigating AI Challenges: Scalability, Evaluation, Memory, Security | Course and Power Point for Bots

The article discusses the technical challenges faced in building an AI Assistant, including scalability issues, evaluation complexities, memory management concerns, and the importance of security measures to protect user data and ensure smooth operation.
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Technical Challenge Description
Scalability Building an AI Assistant using a large language model poses scalability challenges as the model requires significant computational resources to train and deploy. Ensuring that the system can handle increasing amounts of data and user interactions efficiently is crucial.
Evaluation Measuring the performance and accuracy of the AI Assistant is a complex task. Evaluating how well the model understands and responds to user queries, as well as continuously improving its capabilities, requires robust evaluation methodologies and tools.
Memory Management Large language models consume substantial memory resources, which can be a challenge when deploying the AI Assistant in memory-constrained environments. Efficient memory management strategies are essential to optimize performance and ensure smooth operation.
Security Ensuring the security and privacy of user data is a critical concern when developing an AI Assistant. Implementing robust security measures to protect sensitive information, preventing unauthorized access, and safeguarding against potential vulnerabilities are key considerations in the development process.


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